Vanderbilt University

PhD. Candidate, biostatistics

Nashville, TN

2020 - 2015

Dissertation on Bayesian network models and interactive biomedical visualization platforms

University Graduate Fellow

University of Vermont

B.S., mathematics, statistics

Burlington, VT

2015 - 2011

Minored in computer science

Thesis: An agent based model of Diel Vertical Migration patterns of Mysis diluviana

Graduate Research Assistant

TBILab (Yaomin Xu’s Lab)

Vanderbilt University

2020 - 2015

• Primarilly working with large EHR and Biobank datasets.
• Developing network-based methods to investigate and visualize clinically relevant patterns in data.

Data Science Researcher

Data Science Lab

Johns Hopkins University

2018 - 2017

• Building R Shiny applications in the contexts of wearables and statistics education.
• Work primarily done in R Shiny and Javascript (node and d3js).

Undergraduate Researcher

Rubenstein Ecosystems Science Laboratory

University of Vermont

2015 - 2013

• Analyzed and visualized data for CATOS fish tracking project.
• Head of data mining project to establish temporal trends in population densities of Mysis diluviana (Mysis).
• Ran project to mathematically model the migration patterns of Mysis (honors thesis project.)

Human Computer Interaction Researcher

LabInTheWild (Reineke Lab)

University of Michigan

2015

• Led development and implementation of interactive data visualizations to help users compare themselves to other demographics.

Undergraduate Researcher

Bentil Laboratory

University of Vermont

2014 - 2013

• Developed mathematical model to predict the transport of sulfur through the environment with applications in waste cleanup.

Research Assistant

Adair Laboratory

University of Vermont

2013 - 2012

• Independently analyzed and constructed statistical models for large data sets pertaining to carbon decomposition rates.

Data Journalist - Graphics Department

New York Times

New York, New York

2016

• Reporter with the graphics desk covering topics in science, politics, and sport.
• Work primarily done in R, Javascript, and Adobe Illustrator.
• Had most read and discussed article for entire paper for month of August, 2016.

Engineering Intern - User Experience

Dealer.com

Burlington, VT

2015

• Built internal tool to help analyze and visualize user interaction with backend products.

Data Science Intern

Dealer.com

Burlington, VT

2015

• Worked with the product analytics team to help parse and visualize large stores of data to drive business decisions.

Data Artist In Residence

Conduce

Carpinteria, CA

2015 - 2014

• Envisioned, prototyped and implemented visualization framework in the course of one month.
• Constructed training protocol for bringing third parties up to speed with new protocol.

Software Engineering Intern

Conduce

Carpinteria, CA

2014

• Incorporated d3.js to the company’s main software platform.

Data Visualization Best Practices

DataCamp

N/A

2019

• Designed from bottom up course to teach best practices for scientific visualizations.
• Uses R and ggplot2.
• In top 10% on platform by popularity.

Improving your visualization in Python

DataCamp

N/A

2019

• Designed from bottom up course to teach advanced methods for enhancing visualization.
• Uses python, matplotlib, and seaborn.

Advanced Statistical Learning and Inference

Vanderbilt Biostatistics Department

Nashville, TN

2018 - 2017

• TA and lectured
• Topics covered from penalized regression to boosted trees and neural networks
• Highest level course offered in department

Advanced Statistical Computing

Vanderbilt Biostatistics Department

Nashville, TN

2018

• TA and lectured
• Covered modern statistical computing algorithms
• 4th year PhD level class

Statistical Computing in R

Vanderbilt Biostatistics Department

Nashville, TN

2017

• TA and lectured
• Covered introduction to R language for statistics applications
• Graduate level class

Great paper? Swipe right on the new ‘Tinder for preprints’ app

Science

N/A

2017

• Story of the app Papr made with Jeff Leek and Lucy D’Agostino McGowan.

Swipe right for science: Papr app is ‘Tinder for preprints’

Nature News

N/A

2017

• Second press article for app Papr.

The Deeper Story in the Data

University of Vermont Quarterly

N/A

2016

• Story on my path post graduation and the power of narrative.

The Great Student Migration

The New York Times

N/A

2016

• Most shared and discussed article from the New York Times for August 2016.

Wildfires are Getting Worse, The New York Times

The New York Times

N/A

2016

• GIS analysis and modeling of fire patterns and trends
• Data in collaboration with NASA and USGS

Who’s Speaking at the Democratic National Convention?

The New York Times

N/A

2016

• Data scraped from CSPAN records to figure out who talked and past conventions.

Who’s Speaking at the Republican National Convention?)

The New York Times

N/A

2016

• Used same data scraping techniques as Who’s Speaking at the Democratic National Convention?

A Trail of Terror in Nice, Block by Block

The New York Times

N/A

2016

• Led research effort to put togther story of 2016 terrorist attack in Nice, France in less than 12 hours.
• Work won Silver medal at Malofiej 2017, and gold at Society of News and Design.

Charge Reductions Associated with Shortening Time to Recovery in Septic Shock

Chest

N/A

2019

• Authored with Wesley H. Self, MD MPH; Dandan Liu, PhD; Stephan Russ, MD, MPH; Michael J. Ward, MD, PhD, MBA; Nathan I. Shapiro, MD, MPH; Todd W. Rice, MD, MSc; Matthew W. Semler, MD, MSc.

Multimorbidity Explorer | A shiny app for exploring EHR and biobank data

RStudio::conf 2019

N/A

2019

• Contributed Poster. Authored with Yaomin Xu.

Taking a network view of EHR and Biobank data to find explainable multivariate patterns

Vanderbilt Biostatistics Seminar Series

N/A

2019

• University wide seminar series.

Patient-specific risk factors independently influence survival in Myelodysplastic Syndromes in an unbiased review of EHR records

Under-Review (copy available upon request.)

N/A

2019

• Bayesian network analysis used to find novel subgroups of patients with Myelodysplastic Syndromes (MDS).
• Analysis done using method built for my dissertation.

Patient specific comorbidities impact overall survival in myelofibrosis

Under-Review (copy available upon request.)

N/A

2019

• Bayesian network analysis used to find robust novel subgroups of patients with given genetic mutations.
• Analysis done using method built for my dissertation.

R timelineViz: Visualizing the distribution of study events in longitudinal studies

Under-Review (copy available upon request.)

N/A

2018

• Authored with Alex Sunderman of the Vanderbilt Department of Epidemiology.

Continuous Classification using Deep Neural Networks

Vanderbilt Biostatistics Qualification Exam

N/A

2017

• Review of methods for classifying continuous data streams using neural networks
• Sucessfully met qualifying examination standards

Asymmetric Linkage Disequilibrium: Tools for Dissecting Multiallelic LD

Journal of Human Immunology

N/A

2015

• Authored with Richard Single, Vanja Paunic, Mark Albrecht, and Martin Maiers.

An Agent Based Model of Mysis Migration

International Association of Great Lakes Research Conference

N/A

2015

• Authored with Brian O’Malley, Sture Hansson, and Jason Stockwell.

Declines of Mysis diluviana in the Great Lakes

Journal of Great Lakes Research

N/A

2015

• Authored with Peter Euclide and Jason Stockwell.